Akshay Dhingra
Impact in
- Infectious Diseases top 10%
- Viral gastroenteritis research and epidemiology
-
- Virus-based gene therapy research
Papers in
-
- Herpesvirus Infections and Treatments 5
- Cytomegalovirus and herpesvirus research 4
- Mycobacterium research and diagnosis 3
- Genetics 6
- Virus-based gene therapy research 6
- Co-authors
- Albert Heim (7 shared papers)Elias Hage (6 shared papers)Tina Ganzenmueller (6 shared papers)Thomas F. Schulz (8 shared papers)Jörg Hofmann (1 shared paper)Fabian Hausmann (1 shared paper)Patrick Obermeier (1 shared paper)Thomas Dobner (1 shared paper)
- Journals
- Journal of Virology (2 papers)iScience (1 paper)Scientific Reports (1 paper)Frontiers in Immunology (1 paper)Virus Evolution (1 paper)
- Partner nations
- GermanyUnited KingdomSlovakia
In The Last Decade
Akshay Dhingra
18 papers receiving 384 citations
Peers
Comparison fields: 5 of 67
- Infectious Diseases 118
- Genetics 157
- Epidemiology 172
- Parasitology 28
- Business and International Management 6
Countries citing papers authored by Akshay Dhingra
This map shows the geographic impact of Akshay Dhingra's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Akshay Dhingra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akshay Dhingra more than expected).
Fields of papers citing papers by Akshay Dhingra
This network shows the impact of papers produced by Akshay Dhingra. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Akshay Dhingra. The network helps show where Akshay Dhingra may publish in the future.
Co-authors
The 25 scholars most cited alongside Akshay Dhingra, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 112 | |
| 2 | 2017 | 70 | |
| 3 | 2019 | 35 | |
| 4 | 2018 | 25 | |
| 5 | 2017 | 18 | |
| 6 | 2020 | 16 | |
| 7 | 2020 | 15 | |
| 8 | 2019 | 13 | |
| 9 | 2020 | 13 | |
| 10 | 2019 | 12 | |
| 11 | 2020 | 12 | |
| 12 | 2024 | 11 | |
| 13 | 2010 | 10 | |
| 14 | 2021 | 9 | |
| 15 | 2022 | 6 | |
| 16 | 2019 | 5 | |
| 17 | 2019 | 4 | |
| 18 | 2016 | 2 |
About Akshay Dhingra
Akshay Dhingra is a scholar working on Epidemiology, Genetics, Infectious Diseases, Oncology and Molecular Biology, having authored 18 papers that have together received 388 indexed citations. Recurring topics across this work include Virus-based gene therapy research (6 papers), Herpesvirus Infections and Treatments (5 papers), Cytomegalovirus and herpesvirus research (4 papers), Viral-associated cancers and disorders (3 papers), Viral gastroenteritis research and epidemiology (3 papers), Mycobacterium research and diagnosis (3 papers), Viral Infections and Immunology Research (2 papers) and Parvovirus B19 Infection Studies (2 papers). The work is most often cited by research in Infectious Diseases (118 citations), Genetics (157 citations), Epidemiology (172 citations), Parasitology (28 citations) and Business and International Management (6 citations). Akshay Dhingra has collaborated with scholars based in Germany, United Kingdom and Slovakia. Frequent co-authors include Albert Heim, Elias Hage, Tina Ganzenmueller, Thomas F. Schulz, Jörg Hofmann, Fabian Hausmann, Patrick Obermeier, Thomas Dobner, Barbara Rath and Sindy Böttcher. Their work appears in journals such as Journal of Virology, iScience, Scientific Reports, Frontiers in Immunology and Virus Evolution.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.